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Implementing CDISC Using SAS

Jack Shostak

Implementing CDISC Using SAS

For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have updated their popular Implementing CDISC Using SAS, the first comprehensive book on applying clinical research data and metadata to the Clinical Data Interchange Standards Consortium (CDISC) standards. Implementing CDISC Using SAS: An End-to-End Guide, Revised Second Edition, is an all-inclusive...

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Jack Shostak

Statistical Programming with SAS/IM...

Rick Wicklin

Statistical Programming with SAS/IML Software

SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. In addition to providing a comprehensive introduction to the...

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Rick Wicklin

The Little SAS Enterprise Guide Boo...

Lora D. Delwiche

The Little SAS Enterprise Guide Book

Learning to use SAS Enterprise Guide has never been easier! Whether you are using SAS Enterprise Guide for the first time, or are looking to expand your skills, this is the book for you! With The Little SAS Enterprise Guide Book, award-winning authors Susan Slaughter and Lora Delwiche help you quickly become productive in the SAS Enterprise Guide point-and-click environment. A series of carefully designed tutorials help you master the basics of the tasks you'll want to do most...

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Lora D. Delwiche

Data Preparation for Analytics Usin...

Gerhard Svolba

Data Preparation for Analytics Using SAS

Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart...

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Gerhard Svolba

Building Better Models with JMP Pro

Mia Stephens L.

Building Better Models with JMP Pro

Building Better Models with JMPÂ® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the «what, why, and how» of using JMPÂ® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. In...

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Mia Stephens L.

Categorical Data Analysis Using SAS...

Maura E. Stokes

Categorical Data Analysis Using SAS, Third Edition

Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD procedures in a variety of analyses. Topics discussed include assessing association in contingency tables...

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Maura E. Stokes

Preparing Data for Analysis with JM...

Robert Carver

Preparing Data for Analysis with JMP

Access and clean up data easily using JMP®! Data acquisition and preparation commonly consume approximately 75% of the effort and time of total data analysis. JMP provides many visual, intuitive, and even innovative data-preparation capabilities that enable you to make the most of your organization's data. Preparing Data for Analysis with JMP® is organized within a framework of statistical investigations and model-building and illustrates the new data-handling features in JMP, such as...

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Robert Carver

Introduction to Biostatistics with...

Steve Figard

Introduction to Biostatistics with JMP

[b]Explore biostatistics using JMP® in this refreshing introduction [/b] Presented in an easy-to-understand way, Introduction to Biostatistics with JMP® introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work...

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Steve Figard

Survival Analysis Using SAS

Paul D. Allison

Survival Analysis Using SAS

Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new...

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Paul D. Allison

Carpenter's Guide to Innovative SAS...

Art Carpenter

Carpenter's Guide to Innovative SAS Techniques

Carpenter's Guide to Innovative SAS Techniques offers advanced SAS programmers an all-in-one programming reference that includes advanced topics not easily found outside the depths of SAS documentation or more advanced training classes. Art Carpenter has written fifteen chapters of advanced tips and techniques, including topics on data summary, data analysis, and data reporting. Special emphasis is placed on DATA step techniques that solve complex data problems. There are numerous examples...

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Art Carpenter

Intelligence at the Edge

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Intelligence at the Edge

Explore powerful SAS analytics and the Internet of Things! The world that we live in is more connected than ever before. The Internet of Things (IoT) consists of mechanical and electronic devices connected to one another and to software through the internet. Businesses can use the IoT to quickly make intelligent decisions based on massive amounts of data gathered in real time from these connected devices. IoT increases productivity, lowers operating costs, and provides insights into how...

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Cody's Collection of Popular SAS Pr...

Ron Cody

Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them

Thoroughly updated for SAS 9, Cody's Data Cleaning Techniques Using SAS, Second Edition, addresses tasks that nearly every SAS programmer needs to do – that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify for your own special data cleaning needs. Each topic is developed through specific examples, and every...

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Ron Cody

SAS for Forecasting Time Series, Th...

John C. Brocklebank, Ph.D.

SAS for Forecasting Time Series, Third Edition

To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series , intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both...

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John C. Brocklebank, Ph.D.

Predictive Modeling with SAS Enterp...

Kattamuri S. Sarma

Predictive Modeling with SAS Enterprise Miner

A step-by-step guide to predictive modeling! Kattamuri Sarma's Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition, will show you how to develop and test predictive models quickly using SAS Enterprise Miner. Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. Incorporating the latest version of Enterprise Miner, this third edition also...

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Kattamuri S. Sarma

Data Quality for Analytics Using SA...

Gerhard Svolba

Data Quality for Analytics Using SAS

Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolba's Data Quality for Analytics Using SAS focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. The book is made up of three parts. The first part, which is conceptual, defines data quality and contains text, definitions, explanations, and examples. The second part shows how the data quality status can be...

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Gerhard Svolba

JSL Companion

Kevin Anderson

JSL Companion

Confidently navigate your JMP Scripting Language journey with this example-driven guide! With more than 200 example scripts and applications, JSL Companion: Applications of the JMP Scripting Language, Second Edition provides scripters with a resource that takes them beyond the basics of the JMP Scripting Language (JSL) and serves as a companion to writing applications. Avid JSL scripters Theresa L. Utlaut, Georgia Z. Morgan, and Kevin C. Anderson have tapped their expertise to write a...

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Kevin Anderson

Unstructured Data Analysis

Matthew Windham

Unstructured Data Analysis

Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers the five critical elements of entity extraction, unstructured data, entity resolution, entity network mapping and analysis, and entity management. By following examples of how to apply processing to unstructured data, readers will derive...

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Matthew Windham

Deep Learning for Numerical Applica...

Henry Bequet

Deep Learning for Numerical Applications with SAS

Foreword by Oliver Schabenberger, PhD Executive Vice President, Chief Operating Officer and Chief Technology Officer SAS Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces—from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of...

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Henry Bequet

Biostatistics by Example Using SAS...

Ron Cody

Biostatistics by Example Using SAS Studio

Learn how to solve basic statistical problems with Ron Cody's easy-to-follow style using the point-and-click SAS Studio tasks. Aimed specifically at the health sciences, Biostatistics by Example Using SAS Studio , provides an introduction to SAS Studio tasks. The book includes many biological and health-related problem sets and is fully compatible with SAS University Edition. After reading this book you will be able to understand temporary and permanent SAS data sets, and you will learn...

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Ron Cody

The Global English Style Guide

John R. Kohl

The Global English Style Guide

The Global English Style Guide illustrates how much you can do to make written texts more suitable for a global audience. Accompanied by an abundance of clearly explained examples, the Global English guidelines show you how to write documentation that is optimized for non-native speakers of English, translators, and even machine-translation software, as well as for native speakers of English. You'll find dozens of guidelines that you won't find in any other source, along with thorough...

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John R. Kohl

Jump into JMP Scripting, Second Edi...

Wendy Murphrey

Jump into JMP Scripting, Second Edition

Learn the essentials of the JMP Scripting Language with this beginner’s guide. Written in an easy-to-understand style based on the authors’ extensive experience, Jump into JMP Scripting, Second Edition teaches beginner scripters how to take advantage of the robust JMP Scripting Language (JSL) using step-by-step instructions and real-world situations. The authors demonstrate how JSL offers the freedom to create scripts from the very simple and specific to the most generic and complex. With a...

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Wendy Murphrey

Learning SAS by Example

Ron Cody

Learning SAS by Example

Learn to program SAS by example! Learning SAS by Example: A Programmer’s Guide, Second Edition , teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book...

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Ron Cody

An Introduction to SAS University E...

Ron Cody

An Introduction to SAS University Edition

Get up and running with the SAS University Edition using Ron Cody’s easy-to-follow, step-by-step guide. Aimed at beginners who have downloaded the free SAS University Edition and want to either use the point-and-click interactive environment of SAS Studio, or who want to write their own SAS programs, or both, An Introduction to SAS University Edition, begins by showing you how to obtain the SAS University Edition, and how you can run SAS on a PC or Macintosh computer. The first part of the...

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Ron Cody

Elementary Statistics Using SAS

Sandra D. Schlotzhauer

Elementary Statistics Using SAS

Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The remaining sections of the book show analyses for comparing two groups,...

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Sandra D. Schlotzhauer

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